Senior Data Architect for AI-Powered Data Platform

Sciemo, Inc.; New York, Northern (NY, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Sciemo, Inc. is seeking a senior Data Architect to own the data platform that underpins its AI products. You will define data ingress, modeling, governance, and delivery to models, agents, and applications in production.

This founding-level role requires hands-on leadership, establishing standards, choosing platforms, and partnering with ML and engineering teams. The ideal candidate has scale data-platform experience, strong SQL, Python, and a track record in building reliable, privacy-conscious

Qualifications

• Significant experience designing and operating production data platforms at scale.
• Deep expertise in data modeling — dimensional, normalized, and semantic layer design — and strong SQL.
• Strong Python and production-grade engineering practices; comfort with Spark or equivalent distributed compute.
• Hands-on experience with modern warehouse/lakehouse platforms and orchestration/transformation tooling.
• Experience supporting ML and AI workloads specifically — feature availability, training/serving consistency, and retrieval patterns.
• Working knowledge of graph data models and when they beat relational approaches.
• Practical experience with data governance, security, and privacy in a customer-data environment.
• Strong communication skills — able to explain architectural tradeoffs to technical and non-technical stakeholders alike.
• Startup adaptability and a bias toward shipping.

Responsibilities

• Design and own data architecture end to end: ingestion, storage, transformation, and serving across multiple cloud environments and deployment models.
• Define data models and semantic layers that support both analytical workloads and production ML/agent systems.
• Establish data contracts and interface standards between ingestion, ML, and application layers.
• Evaluate and select platform components, balancing capability, cost, and operational burden.
• Build and operate scalable ingestion and transformation pipelines for diverse customer and third‑party data sources.
• Implement orchestration and versioning practices (Airflow, dbt, Dagster, or similar) that make pipelines reproducible and debuggable.
• Instrument data quality, lineage, freshness, and observability so problems surface before customers find them.
• Design for graph and relationship-heavy workloads alongside conventional tabular data.
• Establish standards for data security, access control, retention, and privacy across customer datasets.
• Build the tooling and documentation that make correct usage the path of least resistance.
• Partner with engineering and customer-facing teams on onboarding new customer data safely and quickly.
• Set technical standards and best practices for data at Sciemo, and mentor engineers as the team grows.
• Translate business and product requirements into architectural decisions with clear tradeoffs.
• Stay current with the data platform landscape and bring in what's genuinely worth adopting.

Skills

Data platform design

SQL proficiency

Python programming

Spark or similar

Airflow

dbt

Dagster

Kedro

ZenML

ML/AI workloads

Graph data models

Data governance

Stakeholder comms

Startup mindset

Tools

Spark

ZenML

Kedro

Dagster

Airflow

dbt

Job description

Sciemo, Inc. is seeking a senior Data Architect to own the data platform that underpins its AI products. You will define data ingress, modeling, governance, and delivery to models, agents, and applications in production.

This founding-level role requires hands-on leadership, establishing standards, choosing platforms, and partnering with ML and engineering teams. The ideal candidate has scale data-platform experience, strong SQL, Python, and a track record in building reliable, privacy-conscious